Back to skills
SkillHub ClubAnalyze Data & AIFull StackData / AI

data-cleaning-annotation-workflow

Complete workflow for time series datasets (Energy, Manufacturing, Climate) on Kaggle to Data Annotation platform (data.smlcrm.com). Includes downloading, cleaning with pandas, uploading RAW with metadata, configuring columns (Time/Target/Covariate/Group), setting units (kWh, kVarh, tCO2, ratio, seconds), and assigning groups by selecting all variables and applying all group tags. Use when finding Kaggle datasets, cleaning for ML, uploading with metadata, configuring types/units, assigning groups to all variables, or complete pipeline to CLEAN status.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
3,087
Hot score
99
Updated
March 20, 2026
Overall rating
C4.6
Composite score
4.6
Best-practice grade
B77.6

Install command

npx @skill-hub/cli install openclaw-skills-data-cleaning-annotation-workflow

Repository

openclaw/skills

Skill path: skills/deyashmukh/data-cleaning-annotation-workflow

Complete workflow for time series datasets (Energy, Manufacturing, Climate) on Kaggle to Data Annotation platform (data.smlcrm.com). Includes downloading, cleaning with pandas, uploading RAW with metadata, configuring columns (Time/Target/Covariate/Group), setting units (kWh, kVarh, tCO2, ratio, seconds), and assigning groups by selecting all variables and applying all group tags. Use when finding Kaggle datasets, cleaning for ML, uploading with metadata, configuring types/units, assigning groups to all variables, or complete pipeline to CLEAN status.

Open repository

Best for

Primary workflow: Analyze Data & AI.

Technical facets: Full Stack, Data / AI.

Target audience: Development teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: openclaw.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install data-cleaning-annotation-workflow into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/openclaw/skills before adding data-cleaning-annotation-workflow to shared team environments
  • Use data-cleaning-annotation-workflow for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

data-cleaning-annotation-workflow | SkillHub